MAT 3172 Foundations of Probability

3 units
Mathematics
Faculty of Science
An overview of probability from a non-measure theoretic point of view. Random vectors; independence, conditional expectation and probability, consequences. Various types of convergence leading to proofs of the major theorems in classical probability theory. An introduction to simple stochastic processes such as Poisson and branching processes.

Components:

Lecture

Requirements:

Prerequisites: MAT 2371 , (MAT 2121 or MAT 2122 ), ( MAT 2141 or MAT 2342 ).

Previously Offered Terms:

Fall
Summer

French Equivalent:

All Professors
C Average (4.498)
Most Common: D (19%)
534 students

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A+

Mahmoud Zarepour

2 sections from Summer 2023 to Summer 2024

C+ Average (4.913)
Most Common: A+ (16%)
150 students

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F

D

C

B

A-

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Vadim Kaimanovich

4 sections from Fall 2017 to Fall 2023

C Average (3.701)
Most Common: D (27%)
241 students

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F

D

C

B

A-

A+

Youssouph Cissokho

Summer 2022 - X00

C+ Average (4.505)
Most Common: D (19%)
91 students

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F

D

C

B

A-

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Gilles Lamothe

Summer 2018 - X00

B+ Average (6.981)
Most Common: A- (27%)
52 students

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NS

F

D

C

B

A-

A+